SAP and UnternehmerTUM develop AI-powered robot safety inspection prototype in 12 weeks

SAP and Technical University of Munich built SafetyGuard, an AI-powered robot inspection system, in 12 weeks through a student program. Drones and humanoid robots detect missing safety equipment and document hazards without human intervention.

Categorized in: AI News Product Development
Published on: Mar 27, 2026
SAP and UnternehmerTUM develop AI-powered robot safety inspection prototype in 12 weeks

SAP and Munich University Build Safety Inspection Robot in 12 Weeks

A student team at Technical University of Munich created SafetyGuard, a prototype that uses robots and artificial intelligence to detect workplace hazards automatically. SAP and UnternehmerTUM, Europe's largest innovation center, developed the system in 12 weeks as part of a structured student program.

SafetyGuard combines two technologies: modular robotics and AI-powered autonomy. Drones and humanoid robots equipped with specialized AI models inspect work environments without human intervention, detecting missing protective equipment and documenting safety incidents. The robots can multitask-inspecting areas while transporting materials or monitoring machinery.

Why This Matters for Product Development

Safety inspections are essential across many industries but remain time-consuming and error-prone when done manually. SafetyGuard addresses a real business need: faster, more reliable inspections without increasing employee workload.

The prototype demonstrates how AI for Product Development can work in practice. What started as a student challenge became a proof of concept that SAP plans to integrate into its product portfolio. The prototyping approach-moving from concept to working system in weeks-offers a model for accelerating product development cycles.

Embodied AI as Strategic Focus

SAP is investing in embodied AI going forward, defined as the integration of artificial intelligence into physical robot systems. SafetyGuard shows how this approach works: the AI layer understands business context, triggers actions across systems, and operates independently of robot manufacturer.

The system's design is scalable across different use cases and complements SAP's existing environment, health, and safety management solutions.

How the Collaboration Works

UnternehmerTUM runs several programs that produce prototypes for SAP. The Digital Product School, where SafetyGuard was built, gives students 12 weeks to develop executable software prototypes tied to real product roadmaps.

To date, 13 prototypes have been developed through this partnership. Recent examples include:

  • Carbon Data Exchange, now part of SAP Sustainability Control Tower
  • A chatbot that helps developers search SAP Field Service Management documentation
  • Five retail prototypes from a one-week Innovation Sprint, including inventory optimization and virtual shelf monitoring systems

Longer-term programs like Digital Hub Mobility and Circular Republic bring together experts from companies, startups, and research institutions to test innovations in customer environments early in development.

The Ecosystem Approach

Tobias Riasanow, head of Ecosystem Development at SAP Labs Germany, said the project shows how quickly ideas move to impact when teams across locations collaborate. An SAP team in Potsdam worked with Munich students to build a working prototype in weeks-a timeline that would be difficult within traditional product development structures.

UnternehmerTUM, founded in 2002, supports over 120 scalable startups and 300 innovation projects annually. Its 500 employees work with leading industry partners to test new technologies in real-world settings. SAP has partnered with the organization since 2017.

For product development professionals, the SafetyGuard example illustrates a practical approach: define a real user problem, assemble cross-functional teams with access to emerging technology, set a fixed timeline, and measure results against product roadmaps. The method produces working prototypes that feed directly into product strategy rather than theoretical exercises.


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